公司治理
黑天鹅理论
业务
选择偏差
会计
选择(遗传算法)
媒体报道
跨国公司
财务
计算机科学
社会学
医学
病理
人工智能
统计
数学
媒体研究
作者
Ralf Barkemeyer,Christophe Revelli,Anatole Douaud
标识
DOI:10.1016/j.jclepro.2023.137035
摘要
Environmental, Social and Governance (ESG) controversies data, based on the screening of independent media outlets by ESG data providers, has developed into an important dimension of ESG evaluations. Extant research has treated ESG controversies as a black box, applying the dataset without scrutinizing how it is constructed. Our research addresses this knowledge gap, utilizing a two-pronged analytical approach to the ESG controversies data of Vigeo-Eiris. We examine general trends and patterns in the sampling of 20,144 media sources over a 20-year period (2000–2019). This quantitative study is complemented by a qualitative, case-based analysis of the Kazakh operations of a multinational steel manufacturing company to further explore and contextualize the ESG controversies coverage of three leading ESG information providers (Vigeo-Eiris, RepRisk and Sustainalytics). We discover significant selection bias in the media sources that underlie the ESG controversies data, which presents a hitherto undetected risk for investors. Of note, the odds of being covered as part of a controversy are five times higher for companies headquartered in English-language countries than for companies in other language regions. Our study contributes by opening the black box of ESG controversies, scrutinizing their underlying sampling methodologies and highlighting the trade-off between completeness and cost of available ESG information.
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